ABOUT THE ROLE

Under the guidance of an engineering manager or field service manager, act as a team design application engineer and regular field implementation. As a fully competent engineer the primary goal of the Physical Design Engineer is to apply sound and diversified knowledge of engineering principles and practices in broad areas of assignments in related fields and to develop broad multi-task, HV Substation experience to effectively manage medium to large sized EPC projects. 

Some of the responsibilities you can expect include the following:

• Independently make decisions regarding engineering problems and methods.
• Utilizing intuition and innovation independently solve design problems.
• Instill a professional image with all dealings with Hut 8 clients, as well as interpersonal relationships with team members. Provide encouragement, insight, mentoring and challenge to team members under your supervision.
• Utilizing advanced techniques, precepts and practices of the engineering field and related sciences and disciplines, independently carry out engineering assignments based on the International Electrical Codes (IEC) as well as American National Standards Institute (ANSI).
• Coordinate QA/QC design reviews as well as final sign-off of documents issued for procurement and construction.
• Develop the detailed design documents, including but not limited to, General Arrangements, Sectional Elevations, Installation Details, Conduit & Grounding Layouts and Details, Foundation and Steel Design.
• Perform lightning, lighting, and bus calculations.
• Generate specifications and BOMs of substation equipment for pricing and procurement.
• Travel to the project site required. 

ABOUT YOU

• BSEE or BSCE with minimum 5 years’ experience in High Voltage Engineering, or an M .S. degree in engineering with sufficient experience required for advancement as determined by management, or a combination of applicable education and experience as determined by management; professional registration or expectation of achieving professional registration within a specified time period.
• While performing the duties of this position the employee is frequently required to sit for long periods of time; occasionally lift a maximum of 20 pounds; specific vision abilities required by this job include close vision, color vision, ability to adjust focus. Occasional travel.
• FLSA STATUS: Exempt.

ABOUT THE WORK ENVIRONMENT

This role is on-site with travel to our various Data Center locations. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Position Overview 

The RAN Deployment Engineer is responsible for executing all deployment, installation, and integration activities required to enable stable satellite‑to‑mobile connectivity across India and within global delivery programs. This role supports gateway and cell‑site builds, performs beam surveys, validates field installations, uploads configurations, and conducts probe‑based integration checks to ensure RAN readiness for satellite network activation. 

The position works closely with regional engineering teams, the NOC, vendors, and global deployment groups to resolve technical blockers, uphold high integration quality, and support seamless service enablement. 

Operating at the intersection of field engineering and advanced satellite‑RAN deployment, this role demands precision during installation, disciplined validation practices, and continuous coordination with cross‑functional teams. The RAN Deployment Engineer must balance technical accuracy, operational urgency, and regulatory variations across India to ensure smooth and consistent readiness for global satellite network activation.

Key Responsibilities 

Field Deployment & Installation Activities 

• Deliver RAN deployment activities including cell‑site builds, managing end-to-end field installation processes for satellite-RAN infrastructure 

• Execute installation checks and commissioning procedures to validate proper equipment mounting, cabling, power connections, and environmental controls 

• Validate CIQ inputs/outputs and CIQ-to-SCF generation to avoid deployment rework 

• Validate Cell site router to Core integration, transport readiness 

• Perform configuration uploads and software provisioning to ensure RAN equipment is properly configured according to deployment specifications 

• Perform and validate BPMS to eNB port mapping, transport, clocking, and interface readiness 

• Support Beam Go / No-Go readiness reviews and provide technical sign-off inputs 

• Own technical handover from Delivery to Service Acceptance, ensuring all acceptance criteria and artifacts are met 

• Enable stable satellite‑mobile connectivity through systematic installation, integration, and validation of RAN components and interfaces 

Technical Validation & Testing 

• Perform probe validations and acceptance testing to verify RAN functionality, connectivity, and performance against established criteria 

• Conduct integration testing between satellite-RAN equipment and terrestrial network components to ensure seamless connectivity 

• Execute acceptance tasks including functional testing, performance validation, and documentation completion for site commissioning 

• Execute Acceptance checks with vendors for handover to Service Acceptance 

Coordination & Collaboration 

• Coordinate with regional engineering, NOC, vendors, and global deployment teams to align deployment activities with project schedules and technical requirements 

• Interface with network operations centres to ensure proper monitoring integration and operational readiness during deployment phases 

• Work with vendor teams to resolve equipment issues, on site hardware delivery, coordinate software updates, and ensure proper installation procedures 

• Collaborate with global deployment teams to maintain consistency in deployment standards and share lessons learned across regions 

Technical Issue Resolution & Quality Assurance 

• Resolve technical blockers encountered during deployment including equipment failures, configuration issues, and integration challenges 

• Troubleshoot complex technical problems affecting RAN performance, connectivity, or functionality during installation and commissioning 

• Ensure reliable RAN readiness supporting global satellite network activation through comprehensive validation and quality assurance processes 

• Document and escalate unresolved issues to appropriate technical teams while implementing temporary workarounds to maintain deployment schedules  

Qualifications  

Education 

• Bachelor's degree in electrical engineering, telecommunications engineering, computer engineering, or related technical field 

• Associate degree with relevant telecommunications experience accepted  

Experience 

• Minimum 4+ years in telecommunications field deployment, network installation, or wireless infrastructure commissioning 

• 2+ years hands-on experience with RAN deployment, cell site installation, or wireless network infrastructure and CIQ handling 

• Proven experience with field installation, testing, and commissioning of complex telecommunications equipment  

Required Technical Expertise 

• Strong understanding of RAN technologies, wireless communications principles, and telecommunications infrastructure 

• Knowledge of installation procedures for telecommunications equipment including Rack, eNodeB antennas, transceivers, GPS & CSR and network infrastructure 

• Familiarity with configuration management, software provisioning, and equipment commissioning processes  

Preferred Qualifications 

• Experience with satellite communications systems, satellite-RAN integration, or space-terrestrial network deployment 

• Background in field deployment roles at wireless carriers, equipment vendors, or telecommunications contractors 

• Knowledge of safety procedures and compliance requirements for telecommunications field work 

• Experience with network monitoring systems and performance validation tools 

• Familiarity with project coordination and deployment management practices  

Professional Skills 

• Strong problem-solving and troubleshooting skills for complex technical issues in field environments 

• Excellent communication skills for coordination with multiple technical teams and stakeholders 

• Proven ability to work independently in field environments while maintaining safety and quality standards 

• Experience with technical documentation, test reporting, and deployment validation procedures  

Technology Proficiency 

• Proficiency with RF testing equipment including spectrum analysers, power meters 

• Experience with network configuration tools and equipment management systems 

• Familiarity with field measurement software and data collection tools used in wireless deployment 

• Knowledge of safety equipment and procedures required for telecommunications field work  

Skills & Competencies 

• Field Installation Expertise: Hands-on experience with telecommunications equipment installation, cabling, and commissioning procedures 

• RF Testing & Validation: Proficiency with RF measurement equipment and wireless network performance validation techniques 

• Technical Troubleshooting: Systematic approach to identifying and resolving complex technical issues in field environments 

• Safety Consciousness: Commitment to safety procedures and compliance with telecommunications industry safety standards 

• Documentation & Reporting: Clear technical writing and accurate documentation of deployment activities and test results 

• Team Coordination: Effective collaboration across multiple technical disciplines and organizational boundaries  

Cross-Functional Interfaces 

This role collaborates regularly with: 

• Internal: Regional Engineering Teams, Network Operations Center, RF Engineering, Field Operations, Quality Assurance, Program Management, Safety and Compliance 

• External: Equipment vendors, installation contractors, testing laboratories, site owners, local regulatory authorities  

Physical Requirements 

• Role will be based in United States with extensive travel for field deployment activities across multiple regions (~50%) 

• Ability to perform physical field work including equipment installation,  

• Valid driver's license and ability to travel to remote deployment sites as required by project schedules 

• Ability to work flexible hours including weekends and extended shifts during critical deployment phases 

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Opportunity.

With so many organizations using Postman, we are looking for exceptional Solutions Engineers to join our team and to help us to efficiently support and grow our enterprise business. You will partner with our Sales team to promote an API-first development culture, nurture customer relationships, and guide Postman users on how to most effectively leverage our platform to build their APIs. Ideally, we are looking for someone who lives and breathes APIs, is comfortable with JavaScript, has experience in enterprise sales, and is an expert Postman user already!

In addition to working with a product that customers already know and love, you will be well-supported in this role by our Sales, Customer Success, Developer Relations, and Engineering teams.

What You'll Do

• Help drive enterprise sales by nurturing prospects and supporting Strategic and Enterprise customers
• Conduct discovery, qualification, technical demos, and proof of value workshops with prospective customers looking to shift to an API-first development culture
• Handle Postman technical questions or objections and provide solutions or workarounds to address customer needs
• Understand deeply our customers workflows today and how they can adopt API-first development best practices
• Share customer feedback with appropriate teams and provide general customer advocacy
• Remain up-to-date with the competitive landscape, current trends, and challenges in the API market
• Create proof of concept integrations, tooling, and workflows as needed to support prospective customers
• Maintain and develop customer sandbox environments and best practices of working with the product
• Act as a technical intermediary between sales and other teams to best fit our customers needs

About You

• 4+ years of enterprise sales/solutions engineering experience
• 2+ years of software development experience
• Fluent in Spanish and Portugese
• Remote work friendly, with ability to travel up to 40%
• Loves teamwork and collaboration in a fast-paced environment
• Customer facing experience and comfortable engaging all levels of technologists including individual developers, QA, product, and engineering leaders
• Experience engaging senior management and executive audiences to convey Postman's value proposition
• Capable of forging deep, long-lasting relationships with Strategic customers
• Strong understanding of APIs, and experience with producing and consuming with APIs across different domains
• Strong understanding of modern development methodologies and DevOps with an appreciation of the software development life cycle
• Comfortable with the enterprise SaaS sales process and common security concerns of cloud services
• Experience executing enterprise sales strategies and sales methodologies like MEDDIC, Challenger Sale, Command of the Message, etc.
• Excellent listener that seeks to understand what a customer is trying to achieve rather than pre-supposing solutions
• Familiar with typical developer tooling: IDEs, Git, CI/CD, monitoring services, microservices, containers, cloud computing services, etc.
• Fast learner, excited and willing to learn new technology on an ongoing basis
• Great communication skills (presentation, verbal and written)
• Undergraduate degree or equivalent experience

The reasonably estimated base salary for this role ranges from $200,000 to $245,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.